TL;DR

Staff Software Engineer (Marketing Technology): Architect and build high-performance, scalable web systems with an accent on frontend rendering, API design, and AI-native platform evolution. Focus on designing distributed caching strategies, integrating AI for personalization, and ensuring system reliability and maintainability.

Location: Hybrid with offices in Denver, San Francisco, New York, Los Angeles, Seattle, and Toronto; remote work allowed with office attendance 2-3 days per week in US offices

Salary: $185,000 - $275,000 USD depending on location; CAD salary for Toronto

Company

Gusto supports over 400,000 small businesses with payroll, health insurance, 401(k)s, and HR solutions, building a diverse and inclusive workplace.

What you will do

  • Architect and build scalable, high-performance web systems focusing on frontend and full-stack capabilities.
  • Own technical decisions across frontend rendering, API contracts, data modeling, and backend integrations.
  • Design and implement distributed caching strategies across CDN, edge, and application layers.
  • Write high-quality, well-tested code in React, TypeScript, and Next.js, setting engineering standards.
  • Lead architecture reviews, system design discussions, and mentor fellow engineers.
  • Translate product and business requirements into sustainable technical architecture aligned with AI-native transition.

Requirements

  • 8+ years experience building high-scale web systems with strong frontend and backend fundamentals.
  • Deep expertise in React, TypeScript, Next.js, and rendering strategies (SSR, SSG, ISR).
  • Systems-level thinking with ability to design distributed systems and communicate architectural decisions.
  • Experience applying AI tools for frontend development and personalization.
  • Knowledge of web performance, caching, CDNs, and edge computing.
  • Strong written communication skills for technical documentation and proposals.

Nice to have

  • Experience in growth, product, or platform engineering balancing technical quality and business outcomes.
  • Hands-on experience with ML/AI integration, personalization engines, or recommendation systems.
  • Familiarity with content delivery infrastructure, headless CMS, and dynamic rendering pipelines.
  • Experience with event-driven architectures and data pipelines for AI/ML models.
  • Experience with customer data platforms or behavioral analytics infrastructure.

Culture & Benefits

  • Hybrid work model with office presence expected 2-3 days per week in US offices.
  • Supportive and inclusive workplace valuing diversity and equal opportunity.
  • Focus on engineering quality, technical rigor, and sustainable growth.
  • Collaboration with cross-functional teams including Marketing, Growth R&D, and Data/AI.